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INTELLIGENT SUPERPRECISION PLASTIC MOLD DESIGN SYSTEM

机译:智能超精密塑料模具设计系统

摘要

The present invention relates to an intelligent super precision plastic mold design system which supports a super precision plastic mold to be designed and manufactured at minimum costs and time by applying weighting function and neural network analysis algorithm as well as finite-element analysis to mold design data. The intelligent super precision plastic mold design system includes: a storage part (100) in which back data for learning according to the mold design data are stored; an input part (200) which responds to operation of an operator to support the operator to input the mold design data; a control part (300) which performs a control process to read the back data for learning according to the mold design data inputted according to support of the input part (200) from the storage part (100), generate primarily predicted first mold design data from the mold design data and the back data for learning according to an element interpretive method, generate secondly predicted second mold design data by imparting the weighting function to an interpretation prediction result value, allow a mold manufacturing process and an injection molding process to be performed by using the second mold design data, and allow the mold manufacturing process to be performed by the second mold design data if the dimensions of the injection molded product exist within a reference error range by receiving dimensions of an injection molded product; and an output part (400) which outputs the mold design data on a screen by responding to control of the control part (300).;COPYRIGHT KIPO 2019
机译:本发明涉及一种智能超精密塑料模具设计系统,该系统通过将加权函数和神经网络分析算法以及有限元分析应用于模具设计数据,支持以最小的成本和时间来设计和制造超精密塑料模具。 。该智能超精密塑料模具设计系统包括:存储部分(100),其中存储用于根据模具设计数据学习的后数据;输入部分(200),其响应于操作者的操作以支持操作者输入模具设计数据;控制部件(300)执行控制过程,以根据根据从存储部件(100)输入的输入部件(200)的支持而输入的模具设计数据来读取用于学习的背面数据,生成主要预测的第一模具设计数据根据元素解释方法从模具设计数据和用于学习的背面数据中,通过将权重函数赋予解释预测结果值来生成第二预测的第二模具设计数据,从而可以执行模具制造过程和注塑过程通过使用第二模具设计数据,并且通过接收注射成型产品的尺寸,如果注射成型产品的尺寸在参考误差范围内,则允许由第二模具设计数据执行模具制造过程;以及响应于控制部分(300)的控制而在屏幕上输出模具设计数据的输出部分(400)。COPYRIGHTKIPO 2019

著录项

  • 公开/公告号KR20190084690A

    专利类型

  • 公开/公告日2019-07-17

    原文格式PDF

  • 申请/专利权人 DPAMS TECH CO. LTD.;

    申请/专利号KR20180002744

  • 发明设计人 YOON SEON JIN;

    申请日2018-01-09

  • 分类号B29C33/38;

  • 国家 KR

  • 入库时间 2022-08-21 11:50:19

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